Empower Test Engineering with On-Demand Test Data Provisioning

Watch this webinar to learn how to achieve end-to-end automation by adding the missing piece of on-demand test data provisioning using TDM.

QA and application testing teams have a critical dependency on high quality data for testing enterprise applications. An effective Test Data Management (TDM) Strategy can save hours in test data creation, build efficiency into your test process, mitigate risk of exposing sensitive data, and ultimately expedite the testing lifecycle and reduce total cost of ownership.

TDM can automate your test data requests for on-premise and cloud environments and ensure a high degree of test coverage by facilitating the right data, in the right quantity, at the right time in all your test environments.

Watch this On-Demand Webinar on, Empower Test Engineering with On-Demand Test Data Provisioning for an overview and demo covering how TDM helps testers to:

  • Strengthen Agile, DevOps and Shift-Left Testing strategies.
  • Support custom built, re-usable libraries to generate synthetic / cloned data.
  • Take full control of functional and non-functional test coverage by generating realistic test data in the right quantity. at the touch of a button
  • Support test data needs for a variety of application testing and QA requirements.

Watch now to learn how to achieve end-to-end automation by adding the missing piece of on-demand test data provisioning using TDM.

Who Should Watch?
  • QA and Software Testing Director
  • Application and QA Manager
  • Application Tester and QA Engineer
  • Product Owners and Managers
Why Watch?
  • Reduce overall test data related defects by 90% - minimizing costs and speeding time to market.
  • Accelerate testing cycle using DevOps and Shift-Left testing strategies.
  • Ensure on-premise and cloud application quality by reducing untested scenarios with high data volume by over 70%.
  • Reduce test setup time by over 60%.

About Presenter

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Samarth Sihare

Business and Quality Analyst, Bitwise

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